Object oriented program examples for high energy physics reconstruction

A number of Object Oriented example programs based on High Energy Physics event reconstruction are worked out

Bone Graft Substitutes

__Abstract__ Bone grafting was established in the 19th century and has become a common procedure in which bone defects are filled with bone grafts or bone graft substitutes. Bone defects that require bone grafting are encountered in approximately 10% of trauma and orthopaedic surgeries 1. A broad range of different bone grafts or bone graft substitutes have been developed during the past fifty years. All these bone grafts or bone graft substitutes have their strengths and weaknesses, confronting each surgeon with the difficult task to select the most suitable bone graft or bone graft substitute for each trauma and orthopaedic surgical procedure that requires bone grafting

The response time distribution in a multi-processor database with single queue static locking

A transaction scheduling mechanism is designed for a shared??memory?? multi??processor database system??. The scheduler used is a variant of static locking?? adapted for real??time and more than one processor??. It is assumed that transactions arrive according to a Poisson process?? execution times of transactions are independent and exponentially distributed?? and all transactions use the same number of data items?? The system is then represented as a Markov model??. A steady state is derived from this model??. By examining the path through the system of a single transaction,?? a recursive relation that describes all moments of a transaction's response time is derived.?? The moments are obtained from this relation with dynamic programming??. The response time distribution is approximated by fi??tting a distribution to the ??first two moments??. Simulation shows that this approximation gives excellent results??

Adaptive streaming of MPEG-based audio/video content over wireless networks

This paper describes a method for robust streaming of combined MPEG audio/video content (encoded either with MPEG-2 or MPEG-4/H.264) over in-home wireless networks. We make use of currently used content distribution format (MPEG Transport Stream) and network protocols (either RTP or TCP/HTTP). The transmitted bit-rate is constantly adapted to the available network bandwidth, such that audio and video artifacts caused by packet loss are avoided. Bit-rate adaptation is achieved by using a packet scheduling technique called I-Frame Delay (IFD), which performs priority-based frame dropping upon insufficient bandwidth. We show an implementation using RTP and an implementation using TCP. Measurements on a real-life demonstrator set-up demonstrate the effectiveness of our approach

NCS calculation method for streaming applications

Our contribution in the context of the Quality of Service (QoS) in IN-home digital networks project was focused on the QoS provided by consumer electronics terminals. In order to achieve a particular level of QoS provided by a terminal, an important issue is resource management supported by performance analysis. The work we present in this article is highlighting ways of predicting the necessary resources (e.g. CPU, memory, bus) needed by a video streaming application to provide a given level of QoS. We introduce a calculation method that involves measuring in isolation the resource needs of each of the individual streaming components, and also a performance composition analysis, which takes into account the Number of Context Switches (NCS) occurring during the execution of the application. We based our calculation for the NCS on the observation that running streaming applications, eventually adopt a pattern of execution that repeats after a specific interval of time (hyperperiod). By finding the NCS induced during a hyperperiod, we deduce the total NCS occurring during the execution of the application. The article gives a characterization of the streaming applications execution and of the component model that lie at the basis of our calculation

Statistical analysis of fever interval data

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